Identifying TP53 mutation carrier is critical to people with Li-Fraumeni syndrome for cancer prevention and survival improvement. A new method is needed for clinical counselors because of the limitations of current clinical criteria. LFSpro is built on a Mendelian model and estimates the TP53 mutation probability through Elston-Stewart algorithm with accuracy. Unlike previously used models, our model incorporates de novo mutation rate, which greatly improved estimation accuracy.

Project Activity

See All Activity >

Follow LFSpro

LFSpro Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of LFSpro!

Additional Project Details

Registered

2014-02-22